َThe Analytical Model of Capture Zone of a Multi-well System in Bounded AquifersSomayehZarei-Doudejiدانش آموخته دکتری/دانشگاه شیرازauthorNozarSamaniProffesor/Shiraz Universityauthortextarticle2016perIn this paper the capture zone equations of a well field in a bounded confined and unconfined aquifer is developed. The aquifer is rectangular-shaped in plan view and bounded along all four sides. The boundaries are constant head (in-flow) or impervious (barrier) or a combination of both so that six boundary configurations are formed. Using the method of images the flow field in the bounded aquifer is first transformed to its equivalent in extensive aquifers and then the complex velocity potential theory is applied for the generation of stream function delineating the capture envelope. Our solution is flexible in terms of well number, well location, well type, injection/extraction rate, uniform regional flow direction and rate and number of boundaries. The derived equations are presented in form of capture type curves that may be used for the remediation of contaminated groundwater project design, containment of contaminant plumes and the evaluation of surface-subsurface water interaction.HydrogeologyUniversity Of Tabriz3011-25881

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2016111http://hydro.tabrizu.ac.ir/article_4433_5a223c804235e99cb39bf1302eb59235.pdfPerformance comparision of Information Value and Density Area Methods for Spring potential in Ghurchay Watershed, Golestan Provincehossiensalmaniدانشگاه علوم کشاورزی و منابع طبیعی گرگانauthorkazemsaber chenariدانشگاه علوم کشاورزی و منابع طبیعی گرگانauthormohammadrostami khalajدانشگاه تهرانauthoromidjahandidehدانشگاه علوم کشاورزی و منابه طبیعی گرگانauthortextarticle2016perDeveloping a suitable model for effective management and sustainable use of groundwater resources is critical and prepared springs potential map allow us to provided extractable water by spending less of time and cost. In this study, the Gharechay watershed was slected with 248.1 km2 area. Then distribution map of springs (dependent variable) was prepared. Also information layers as slope direction, slope gradient, slope length (SL), profile curvature, curvature of plain, topographic wet index (TWI), stream power index (SPI), geology, fault density, distance to fault, elevation, drainage density, distance from river, land use, distance from the road, soil texture, soil hydrologic group and vegetation density as the independent variable prepared and were digitized in GIS environment. Of the combination of independent variables and the dependent variable, the value of spring in each class was calculated and weighted classes based on the as Information Value and Density area of statistical models were used. Finally, with the obtained weighted maps and sum them zonation spring map in two models were obtained. The results of models using the Relative Operating Characteristic (ROC), and Quality Sum (Qs) shows that information value method with ROC=0.981 and Qs=0.488 than the density area with ROC=0.851 and Qs=0.459 is appropriate for zoning resources ground water springs in this area. Also, based on information value method and density area 94.1% and 65/51% respectively of the study area are high and very high potential to have an incidence springs.HydrogeologyUniversity Of Tabriz3011-25881

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20161228http://hydro.tabrizu.ac.ir/article_4554_3d6af984c0d86cde56cab8de69032025.pdfGroundwater level forecasting using Wavelet-Artificial Neural networks (Case study: Maragheh Plain-East Azarbaijan)JaefarNikbakhtعضو هیأت علمی دانشگاه زنجان-گروه مهندسی آبauthorسمانهنوریفارغ التحصیل کارشناسی ارشد آبیاری و زهکشی دانشگاه زنجانauthortextarticle2016perUnderstanding the behavior of the groundwater system and forecasting it’s fluctuations in the future are essential to achieve comprehensive and sustainable management of groundwater resources. The purpose of this study was clustering of Maragheh Aquifer’s observation wells and groundwater level prediction using Wavelet-Artificial Neural networks. Initially, 20 observation wells of Maragheh Aquifer with 15 years and more groundwater level records were clustered using hierarchical-WARD clustering method. Cluster with 6 homogenous subcluster and representative well of each subcluster were selected. Using wavelet, input time series noise were removed. Then groundwater level of representative wells were forecasted by Artificial Neural Networks. Results showed, considering of temperature time series data as input was confused Artificial Neural Networks and Wavelet-Artificial Neural Networks. On results, taking 3 to 12 months consecutive time delay in input data decreased different between recorded and forecasted data. Minimum value of RMSE (0.03 m) and maximum value of (0.999) were in WNN. Mentioned values in ANN were 0.32 m and 0.885 (respectively). Based on the results of this research, de-noising of input data decreased difference between recorded and forecasted data as 11 cm averagely.HydrogeologyUniversity Of Tabriz3011-25881

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20162943http://hydro.tabrizu.ac.ir/article_4681_5436c595234a97399642dc144533a355.pdfApplication of Geostatistical Techniques for Assessment of Groundwater Quality Foumanat Gilanعبداللهطاهری تیزروDept. if water engineering, College of Agriculture. Hamedan, IranauthorMaryamNavabianAssistant Prof., Dept. of Water Engineering of faculty Agricultural Sciences, University of GuilanauthorAidaBadakhshanMSc of Water Resources, Bu Ali Sina University in Hamedanauthortextarticle2016perGroundwater is considered to be the main source of drinking and agricultural purposes. Therefore, it is essential to be aware of its quality for the proper management of water resources. In this study, qualitative data of 42 observation wells of years(2004-2013) were used to determine the best method for analyzing spatial interpolation quality of the ground water to be used for agricultural purposes. No significant difference of empirical relationship between TDS and EC with respect to the global relationship were observed in the study area. It is also found that, SAR in area was also affected by the concentration of Na. Water quality is classified according to Wilcox was in the category of slightly saline. A comparative analysis between geostatistical methods (Kriging, Cokriging and Inverse distance weighted) showed that the algorithm averages with RMSE and MAE amount are 9.655 to 6.755 and R2 value of 0.6 better results in the estimation of qualitative parameters in the study area. The spatial variations maps of EC and SAR were analyzed for the period of 5 years (2004-2008 and 2008-2013) it is found that the concentrations in the East more than in the West and the lowland plains has been in the trend of increasing concentrations. Also the borders lines of Western and Southwestern parts of Plain are considered to be area, where in terms of lesser concentration of EC and SAR.HydrogeologyUniversity Of Tabriz3011-25881

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20164456http://hydro.tabrizu.ac.ir/article_4825_5507e323c438ab05be8713a5d74cdd30.pdfSimulation and Water Resource Management of Ajabshir Plain AquiferRasoulMirabbasiهیات علمی گروه مهندسی آب دانشگاه شهرکرد/ معاون پژوهشی مرکز تحقیقات منابع آبauthorMohammad TaghiSattariAssistant Professor, Department of Water Engineering, University of Tabriz, Tabrizauthorوحیدبرقی ولینجقفارغ التحصیل کارشناسی ارشد مهندسی عمران-آب، دانشگاه آزاد مراغه.authortextarticle2016perGroundwater is one of the most important resources for providing drinking and agricultural water demand in Ajabshir plain aquifer. In the recent years, because of overexploitation of groundwater resources in this plain, the water table declined, significantly, which is lead to salt water intrusion from Urmia Lake to Ajabshir aquifer and deteriorate the water quality in regions located close by the Urmia lake. In this study, water table fluctuation of Ajabshir aquifer simulated with PMWIN software. The model was calibrated based on automatic inverse modeling by using the Pest package in PMWIN software. The results of model verification showed that the developed model can predict the water table with acceptable accuracy. After model verification, we defined three groundwater discharge management scenario for the 4 next years and investigated accomplishment of these scenario impressions. These scenarios included continuing current condition, decreasing groundwater recharge by 10, 20 and 30 percentages, decreasing of groundwater discharge by 10, 20 and 30 percentages comparing to current amounts. The results of applying above mentioned scenarios to the models reveal that the groundwater level decline will continue in this plain, but with a lower slope which is probably due to constructing a dam on Ghaleh Chay River in recent years and decreasing the groundwater discharge by agricultural wells. The results also showed that by decreasing 30 percentage of groundwater discharge, the groundwater level will increase in next 4 years.HydrogeologyUniversity Of Tabriz3011-25881

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20165775http://hydro.tabrizu.ac.ir/article_4775_35ee3e20d5afb67d551aea55ee6d692b.pdfEvaluation of Factors Affecting the Chemical Quality of Groundwater of Kahriz Plain Using Statistical and Hydrochemical MethodsJournalAdminauthorاصغراصغری مقدمعضو هیات علمی / دانشگاه تبریز دانشکده علوم طبیعی، گروه علوم زمینauthorیوسفمحبی قره اوغلانکارشناسی ارشد آبشناسیauthortextarticle2016perKahriz Plain is located in the West Azarbaijan province, North West of Iran. Groundwater is the only source of water for agricultural and drinking purposes, therefore, its qualitative assessment has a special importance. In order to evaluate Hydrogeochemical variations 18 water samples, uniformly distributed in plain, were collected and analyzed. For assessing factors influencing the chemical quality of groundwater combination of statistical methods such as cluster analysis, factor analysis and hydrochemical methods such as Saturation Index and combined diagrams were used. Based on cluster analysis, groundwater samples fall into three groups. According to the plots of cluster analysis results in Piper diagrams dominant water type for first group is calcic bicarbonate and for groups of two and three is sodium chloride. Stiff diagrams were used to determine the source of groundwater, several sources such as gabbro, limestone, dolomite, shale, salty clays, sea water or a mixture of water sources were found. Based on the factor analysis of the chemical composition of groundwater, Kahriz plain is influenced by four factors. The first factor may be influenced by chemical dissolution processes and saline water intrusion. The second factor can be the result of relationship between aluminum, magnesium and iron ions and alteration of ultramafic rocks. The third factor reflects the impact of domestic wastewater, agricultural activities and highly use of nitrate fertilizers. The fourth factor is the result of chemical weathering of Fluorine and apatite minerals presented in igneous and metamorphic rocks. The calculated mineral saturation indices results show that the water is saturation with respect to the calcite and dolomite and under-saturation to gypsum. Combined diagrams results indicate that processes such as dissolution of halite, alteration of dolomite and ion exchange effect on chemical quality of groundwater.HydrogeologyUniversity Of Tabriz3011-25881

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20167692http://hydro.tabrizu.ac.ir/article_4602_af3e36b9d3ec1843c4261e41f7442f4d.pdfPrediction of spatial distribution pattern of groundwater quality indices in Golestan province for agricultural demands using geostatistics and GISMasoomehDelbariScientific staff/ University of ZabolauthorAminAmini Rakanدانش آموخته کارشناسی ارشد/دانشگاه زابلauthorMojtabaSadeghi Marashtدانش آموخته کارشناسی ارشد/دانشگاه زابلauthortextarticle2016perNowadays one of the key factors controlling development of sustainable agriculture is unsuitable quality of irrigation water. The use of unsuitable water for agriculture could cause some problems regarding salinity, infiltration and toxicity. The aim of this study is to predict the spatial distribution pattern of groundwater quality indices for agricultural purpose in Golestan province. The spatial variability of EC, TDS, SAR, pH, Na+, Cl-, SO42-, Ca2+, HCO3-, Na%, ES and PS of water samples obtained from 207 observation wells was investigated. The experimental semivariogram of all parameters was calculated and the best theoretical model was fitted. Ordinary kriging is then used to interpolate the values of investigated parameters at unsampled locations and their spatial distributions were mapped through GIS. The probability maps of exceeding a given critical threshold were produced for some parameters and indices using indicator kriging. The results showed that all water quality parameters have good spatial autocorrelation with spherical structure. Using the generated estimation maps the study area was classified into different water quality zones considering US soil salinity laboratory as well as FAO standard for irrigation. Based on US soil salinity laboratory, 95% of the study area has a moderate water quality (C3S1 and C3S2). Based on FAO limit, 89% of the study area has good and moderate water quality. The area with appropriate water quality is about 2592 sq km mostly contains eastern, southeastern and northwestern parts of the study area. Moreover based on the probability maps of ES and PS, there is a higher probability of salinity risk in central regions as well as some parts in west. The generated estimation and probability maps can help decision-makers and planners to make proper decisions for appropriate use of soil and water resources and development of a sustainable agriculture in the region.HydrogeologyUniversity Of Tabriz3011-25881

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2016107123http://hydro.tabrizu.ac.ir/article_4818_febbc2472bd279eef8b7afdcb4dbd040.pdfOptimizing cut off wall depth in Gurdian dam of Julfa based on the seepage analysis by Seep/WAsgharEmamalizadeh-GhanatiUniversity of DamghanauthorEbrahimAsghari-KaljahiUniversity of TabrizauthorMohammadBashirgonbadiUniversity of Damghanauthortextarticle2016perGurdian dam with 1450 meters length is including out of the axis of the dam that receives water from the Aras River. Based on geological studies and drilling investigation, river bed in dam site made up of layers of marl and sandstone with interlayer of loose conglomerate of Miocene. Permeability of this sediments vary between 10-11 and 10-3 m/sec. Regarding to dam site specifications is used cut off wall with plastic concrete for over the wall 850 meters length. In fact cut off wall is an impediment under the axis of the dam that caused decrease the seepage amount. Of course the amount of acceptable seepage reduction for this depends on the local geology and characteristics economic value water in the region and the cost all every cubic meters of water. With regard to the conditions of the dam water reservoir of Gurdian, will provide by pumping from Aras river, the cost of each cubic meter water is high, therefore is willing to reduce the seepage amount below 90 percent compared to without cut off wall. Due to this and the underground conditions depth of cut off wall in different parts has been set. The results of seepage analysis indicate that the optimal depth of cut off wall is varied between 5 to 12 meters in different parts. The seepage value from foundation of dam without cut off wall will be 1,898,200 m3/yr and with a cut off wall will decrease to 208,500 m3/yr.HydrogeologyUniversity Of Tabriz3011-25881